Algorithms

MIT researchers have created an automated text-generating system that pinpoints and replaces specific information in relevant Wikipedia sentences, while keeping the language similar to how humans write and edit.

Automated system can rewrite outdated sentences in Wikipedia articles

Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.

February 12, 2020

Several dozen students participated in the Green AI Hackathon, co-sponsored by the MIT Research Computing Project and MIT-IBM Watson AI Lab.

Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer

Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.

February 11, 2020

CSAIL PhD student Di Jin led the development of the TextFooler system.

Hey Alexa! Sorry I fooled you ...

MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.

February 7, 2020

Spider, a new cryptocurrency-routing scheme, splits each full transaction into smaller “packets” that are sent across different channels at different rates.

Giving cryptocurrency users more bang for their buck

Routing scheme boosts efficiency in networks that help speed up blockchain transactions.

January 30, 2020

An AI model developed at MIT and Qatar Computing Research Institute that uses only satellite imagery to automatically tag road features in digital maps could improve GPS navigation, especially in countries with limited map data.

Using artificial intelligence to enrich digital maps

Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.

January 23, 2020

Researchers from MIT, Google, and elsewhere have designed a novel method for verifying when quantum processors have accurately performed complex computations that classical computers can’t. They validate their method on a custom system (pictured) that’s able to capture how accurately a photonic chip (“PNP”) computed a notoriously difficult quantum problem.

How to verify that quantum chips are computing correctly

A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.

January 13, 2020

A variety of new diagnostic models can analyze patient data and real-time symptoms to predict if a given patient has a particular disease.

How well can computers connect symptoms to diseases?

Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.

January 9, 2020

Finding the true potential of algorithms

Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.

January 7, 2020

Robert Hallowell (left) and Michael Matthews developed the Visibility Estimation through Image Analytics algorithm.

An algorithm with an eye for visibility helps pilots in Alaska

Real-time visibility estimates are a critical need in remote areas where visual flight is common and automated weather stations are scarce.

January 6, 2020

MIT researchers have built a new benchmark tool that can accurately predict how long it takes given code to execute on a computer chip, which can help programmers tweak the code for better performance.

Tool predicts how fast code will run on a chip

Machine-learning system should enable developers to improve computing efficiency in a range of applications.

January 6, 2020

In a new study, researchers at MIT and IBM combine three popular text-analysis tools — topic modeling, word embeddings, and optimal transport — to compare thousands of documents per second. Here, they show that their method (left) clusters newsgroup posts by category more tightly than a competing method.

Finding a good read among billions of choices

As natural language processing techniques improve, suggestions are getting speedier and more relevant.

December 20, 2019

An automated machine-learning model developed by MIT researchers significantly outperforms human Wall Street analysts in predicting quarterly business sales.

Model beats Wall Street analysts in forecasting business financials

Using limited data, this automated system predicts a company’s quarterly sales.

December 19, 2019

ObjectNet, a dataset of photos created by MIT and IBM researchers, shows objects from odd angles, in multiple orientations, and against varied backgrounds to better represent the complexity of 3D objects. The researchers hope the dataset will lead to new computer vision techniques that perform better in real life.

This object-recognition dataset stumped the world’s best computer vision models

Objects are posed in varied positions and shot at odd angles to spur new AI techniques.

December 10, 2019

Dixia Fan stands in front of the ITT holding some of the structures towed in the tank to study VIVs, which are important for engineering offshore ocean structures like marine drilling risers that connect underwater oil wells to the surface.

Intelligent Towing Tank propels human-robot-computer research

A novel experimental facility integrates automation and active learning, illuminating a path to accelerated scientific discovery.

December 9, 2019

Based on shadows that an out-of-view video casts on nearby objects, MIT researchers can estimate the contents of the unseen video. In the top row, researchers used this method to recreate visual elements in an out-of-view video; the original elements are shown in the bottom row.

Using computers to view the unseen

A new computational imaging method could change how we view hidden information in scenes.

December 6, 2019

MIT News | Massachusetts Institute of Technology

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